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Lara Baladi, lecturer in the MIT Program in Art, Culture and Technology (left), and Noelle LaCharite of Microsoft

New collaboration sparks global connections to art through artificial intelligence

MIT designers, researchers, and students collaborate with The Metropolitan Museum of Art and Microsoft to improve the connection between people and art.

February 5, 2019

Researchers have released a repository of more than 350,000 detailed chest X-rays, which is free and open to academic, clinical, and industrial investigators.

MIMIC Chest X-Ray database to provide researchers access to over 350,000 patient radiographs

A new database of images could pave a path for algorithmic models that ensure accurate diagnoses of conditions like pneumonia.

February 1, 2019

Researchers from MIT and the Qatar Computing Research Institute (QCRI) are putting the machine-learning systems known as neural networks under the microscope.

Putting neural networks under the microscope

Researchers pinpoint the “neurons” in machine-learning systems that capture specific linguistic features during language-processing tasks.

February 1, 2019

Letter regarding the departure of Vice President for Communications Nate Nickerson

January 31, 2019

About 130 undergraduates discussed the progress of their yearlong research projects at during the SuperUROP Showcase poster session.

SuperUROP: Showcasing students' research work in progress

Undergraduate researchers discussed their projects at a well-attended poster session.

January 31, 2019

MIT engineers have now developed an algorithm that lets autonomous underwater vehicles weigh the risks and potential rewards of exploring an unknown region.

Engineers program marine robots to take calculated risks

Algorithm could help autonomous underwater vehicles explore risky but scientifically-rewarding environments.

January 30, 2019

Using a new cooperative learning technique, MIT-IBM Watson AI Lab researchers cut by half the time it took a pair of robot agents to learn to maneuver to opposite sides of a virtual room.

Learning to teach to speed up learning

An algorithm that teaches robot agents how to exchange advice to complete a task helps them learn faster.

January 29, 2019

A new study co-authored by an MIT professor shows that crowdsourced judgments about the quality of news sources may effectively marginalize false news stories and other kinds of online misinformation.

Want to squelch fake news? Let the readers take charge

Study shows audience judgments can identify online misinformation.

January 28, 2019

Researchers from MIT and elsewhere have designed the first fully flexible, battery-free “rectenna” — a device that converts energy from Wi-Fi signals into electricity — that could be used to power flexible and wearable electronics, medical devices, and sensors for the “internet of things.”

Converting Wi-Fi signals to electricity with new 2-D materials

Device made from flexible, inexpensive materials could power large-area electronics, wearables, medical devices, and more.

January 28, 2019

New research describes a single neural network that can collect missing data from a patient and add it to their chart.

Filling the gaps in a patient’s medical data

Neural network assimilates multiple types of health data to help doctors make decisions with incomplete information.

January 25, 2019

Members of the Health Analytics Collective: (left to right) Mohamad Zahreddine, Michelle Gayari, Duane Robinson, Uma Sharma, Vijay Ivaturi, Kelly Hill, Joga Gobburu, Alan Edelman, and Prasad Koppolu, gather at MMS Holdings in Canton, Michigan.

Julia Lab joins team to speed up drug approval process

Health Analytics Collective uses real-world evidence to modernize health and drug development decisions.

January 25, 2019

A model by MIT and Microsoft researchers identifies instances where autonomous systems have “learned” from training examples that don’t match what’s actually happening in the real world, which can be used to identify which learned actions could cause costly errors.

Identifying artificial intelligence “blind spots”

Model identifies instances when autonomous systems have learned from examples that may cause dangerous errors in the real world.

January 24, 2019

MIT researchers have developed a new secure cryptocurrency that reduces data users need to join the network and verify transactions by up to 99 percent, compared to today’s popular cryptocurrencies, which could mean a more scalable network.

A faster, more efficient cryptocurrency

Design reduces by 99 percent the data users need to join the network and verify transactions.

January 23, 2019

Professor Antonio Torralba, MIT director of the MIT—IBM Watson AI Lab and the inaugural director of the MIT Quest for Intelligence, addresses the audience at the MIT AI Policy Congress on Jan. 15.

AI, the law, and our future

MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation.

January 18, 2019

Leo Celi, a researcher at MIT and a physician at Beth Israel Deaconess Medical Center, leads a global series of health care hackathons, or datathons, to bring doctors and data scientists together and encourage hospitals to make use of their electronic medical records.

Democratizing artificial intelligence in health care

Hackathons promote doctor-data scientist collaboration and expanded access to electronic medical-records to improve patient care.